Asian Journal of Applied Sciences1996-3343xxxx-xxxxorgz10.3923/ajaps.2017.134.144HosseiniEghbal32017103Background and Objective: Several algorithms have been proposed for solving optimization problems recently. Among them, meta-heuristics are much faster and stronger than others. The objective of this study was to propose a new meta-heuristic algorithm to solve different kinds of optimization problems. Materials and Methods: A novel concept for the optimization of continuous programming problems using an algorithm based on big bang theory was proposed. Big bang algorithm was a practical method to solve several types of mathematical programming problems. Results: This algorithm proposes efficient solutions in a suitable time which have been evaluated using solving test problems. Finally the algorithm will be compared with both of meta-heuristic and classic approaches. Conclusion: Solving large size of the problem and also extension of the problem to other kinds of optimization programming problems such as multi-objectives would be significant for future works.]]>Beni, G. and J. Wang,1989Hosseini, E.,2017Colorni, A., M. Dorigo, V. Maniezzo and M. Trubian,1994Kennedy, J. and R. Eberhart,1995Karaboga, D. and B. Basturk,2007Gandomi, A.H. and A.H. Alavi,2012Yang, X.S. and X.S. He,2013Cuevas, E., M. Cienfuegos, D. Zaldivar and C.M. Perez,2013Meng, X., Y. Liu, X. Gao and H. Zhang,2014Yang, X.S.,2010Hosseini, E.,2017LaViolette, P.A.,1995Silverman, R.A.,2000Hosseini, E.,2017Bazaraa, M.S., J.J. Jarvis and H.D. Sherali,2010Hu, T., X. Guo, X. Fu and Y. Lv,2010Hosseini, E. and I.N. Kamalabadi,2014Bazaraa, M.S., H.D. Sherali and C.M. Shetty,2006